ComfyUI Node: ↗️ Upscale Image

↗️ Upscale Image:

The SDVN Upscale Image node is designed to enhance the resolution of images using advanced upscaling techniques. This node is particularly beneficial for AI artists who wish to improve the quality and detail of their images without significant alterations to the original content. By leveraging various upscaling models, the node can effectively increase the size of an image while maintaining or even enhancing its visual fidelity. This capability is crucial for applications where high-resolution outputs are required, such as in digital art, printing, or detailed visual presentations. The node offers flexibility in terms of scaling methods and model selection, allowing users to tailor the upscaling process to their specific needs and preferences.

↗️ Upscale Image Input Parameters:

mode

The mode parameter determines the method of upscaling to be applied. It offers three options: "Maxsize," "Resize," and "Scale." "Maxsize" adjusts the dimensions to fit within a maximum size while maintaining the aspect ratio. "Resize" changes the image dimensions to specified width and height values. "Scale" multiplies the current dimensions by a scaling factor. This parameter impacts how the image is resized and can affect the final output's aspect ratio and resolution.

model_name

The model_name parameter specifies the upscaling model to be used. It allows you to choose from a list of available models, each designed to handle different types of images and upscaling requirements. The default value is "None," which means no specific model is selected. Choosing the right model can significantly influence the quality and characteristics of the upscaled image.

scale

The scale parameter is a floating-point value that determines the factor by which the image dimensions are multiplied when the "Scale" mode is selected. It ranges from 0 to 10, with a default value of 2. This parameter directly affects the size of the output image, allowing for precise control over the level of enlargement.

width

The width parameter sets the target width for the upscaled image when using the "Resize" mode. It is an integer value ranging from 0 to 4096, with a default of 1024. This parameter allows you to define the exact width of the output image, which is crucial for fitting specific display or print requirements.

height

The height parameter sets the target height for the upscaled image when using the "Resize" mode. It is an integer value ranging from 0 to 4096, with a default of 1024. Similar to the width parameter, it allows you to specify the exact height of the output image, ensuring it meets your desired specifications.

latent

The latent parameter represents the latent image data that is to be upscaled. It is a crucial input as it contains the encoded information of the original image, which the node will process to produce a higher-resolution version.

vae

The vae parameter refers to the Variational Autoencoder (VAE) model used in the upscaling process. The VAE helps in decoding the latent image data into a visual format, which is then upscaled. This parameter is essential for ensuring the correct interpretation and transformation of the latent data.

↗️ Upscale Image Output Parameters:

LATENT

The LATENT output parameter provides the upscaled latent image data. This output is crucial for further processing or analysis, as it contains the enhanced resolution version of the original latent data, ready for decoding or additional transformations.

VAE

The VAE output parameter returns the Variational Autoencoder model used in the process. This output is important for maintaining consistency in the workflow, allowing the same VAE model to be used in subsequent operations or for reference purposes.

↗️ Upscale Image Usage Tips:

• Experiment with different model_name options to find the best upscaling model for your specific image type and desired output quality.
• Use the scale parameter to quickly adjust the size of your image while maintaining its aspect ratio, especially when working with the "Scale" mode.
• When using the "Resize" mode, ensure that the width and height parameters are set to values that match your final output requirements to avoid unnecessary resizing later.

↗️ Upscale Image Common Errors and Solutions:

Model not found

• Explanation: This error occurs when the specified model_name does not match any available upscaling models.
• Solution: Verify that the model_name is correctly spelled and exists in the list of available models. You can check the list of models to ensure the correct name is used.

Invalid scale value

• Explanation: This error arises when the scale parameter is set to a value outside the allowed range.
• Solution: Ensure that the scale value is between 0 and 10. Adjust the value to fall within this range to resolve the error.

Dimension mismatch

• Explanation: This error occurs when the width or height parameters are set to zero or incompatible values for the selected mode.
• Solution: Double-check the width and height values to ensure they are greater than zero and appropriate for the chosen mode. Adjust the values as needed to match the desired output dimensions.